State Estimation for Attack Detection in Vehicle Platoon using VANET and Controller Model

• Published in: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) pp. 1 - 8
• Main Authors: Kremer, Philipp, Koley, Ipsita, Dey, Soumyajit, Park, Sangyoung
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20.09.2020
• Subjects: Acceleration; Automobiles; Control systems; Safety; Security; Sensors; Vehicular ad hoc networks
• DOI: 10.1109/ITSC45102.2020.9294604

Vehicular ad-hoc networks (VANET) are often assumed in cooperative driving scenarios, such as vehicle platooning, in order to achieve better control quality and enhanced autonomy. The increased connectivity and software programmability required for this features exposes new attack surfaces, escalating vehicular security risks and potentially compromising the safety of road users. Given the safety critical nature of such applications, the ability to verify the authenticity and integrity of the communicated data as well as to detect malicious driving behaviors is of paramount importance. In practice, such assurances are hard to derive since carefully crafted stealthy attack signals aimed at violating safety properties, e.g. safe inter-vehicle distance, are difficult to distinguish from normal operation if only data from on-board sensors is used by the detection system. To cope with the problem of detecting stealthy attacks on communicated data and the control algorithm in cooperative vehicle platoons, we propose a novel detection technique based on a state estimator that takes advantage of communicated data from multiple vehicles connected over VANET.